1 Introduction
HERE YOU NEED TO GIVE MOTIVATION AND SOME LITERATURE REVIEW
Interactive data graphics provides plots that allow users to interact them. One of the most basic types of interaction is through tooltips, where users are provided additional information about elements in the plot by moving the cursor over the plot.
This paper will first review some R packages on interactive graphics and their tooltip implementations. A new package ToOoOlTiPs that provides customized tooltips for plot, is introduced. Some example plots will then be given to showcase how these tooltips help users to better read the graphics.
2 Background
HERE YOU NEED TO DISCUSS SOME RELATED PACKAGES LIKE CARTOGRAMS and HEXAGON TILE MAPS
Some packages on interactive graphics include plotly (Sievert 2020) that interfaces with Javascript for web-based interactive graphics, crosstalk (Cheng and Sievert 2021) that specializes cross-linking elements across individual graphics. The recent R Journal paper tsibbletalk (Wang and Cook 2021) provides a good example of including interactive graphics into an article for the journal. It has both a set of linked plots, and also an animated gif example, illustrating linking between time series plots and feature summaries.
3 Focus-Glue-Context Transformation
HERE YOU EXPLAIN THE ALGORITHM AND INCLUDE SOME CODE FROM PACKAGE THAT DOES THE PARTS. USE A SIMPLE EXAMPLE LIKE THE RECTANGLE OF DOTS TO EXPLAIN
3.1 Algorithm
3.2 Parameters
3.3 Common choices
ToOoOlTiPs is a packages for customizing tooltips in interactive graphics, it features these possibilities.
The palmerpenguins data (Horst et al. 2020) features three penguin species which has a lovely illustration by Alison Horst in Figure 1.
Figure 1: Artwork by @allison_horst
Table 1 prints at the first few rows of the penguins data:
| species | island | bill_length_mm | bill_depth_mm | flipper_length_mm | body_mass_g | sex | year |
|---|---|---|---|---|---|---|---|
| Adelie | Torgersen | 39.1 | 18.7 | 181 | 3750 | male | 2007 |
| Adelie | Torgersen | 39.5 | 17.4 | 186 | 3800 | female | 2007 |
| Adelie | Torgersen | 40.3 | 18.0 | 195 | 3250 | female | 2007 |
| Adelie | Torgersen | NA | NA | NA | NA | NA | 2007 |
| Adelie | Torgersen | 36.7 | 19.3 | 193 | 3450 | female | 2007 |
| Adelie | Torgersen | 39.3 | 20.6 | 190 | 3650 | male | 2007 |
Figure 2 shows an interactive plot of the penguins data, made using the plotly package.
p <- penguins %>%
ggplot(aes(x = bill_depth_mm, y = bill_length_mm,
color = species)) +
geom_point()
ggplotly(p)Figure 2: A basic interactive plot made with the plotly package on palmer penguin data. Three species of penguins are plotted with bill depth on the x-axis and bill length on the y-axis. When hovering on a point, a tooltip will show the exact value of the bill depth and length for that point, along with the species name.
4 Examples of use
SHOW THE WAYS THAT IT CAN BE USED FOR THE VICTORIAN AMBULANCE DATA: Just the map with hospital locations, map with transfers, map with convex hulls, map with two focal points, then maybe a raster map
5 Discussion
HERE YOU SUMMARISE WHAT THE PAPER CONTRIBUTED IN ONE PARAGRAPH AND SUGGEST NEW WORK THAT MIGHT BE DONE THAT YOU DIDN’T HAVE TIME TO DO
We have displayed various tooltips that are available in the package ToOoOlTiPs.
5.1 CRAN packages used
ToOoOlTiPs, plotly, crosstalk, tsibbletalk, palmerpenguins, ggplot2
5.2 CRAN Task Views implied by cited packages
ChemPhys, DynamicVisualizations, NetworkAnalysis, Phylogenetics, Spatial, TeachingStatistics, TimeSeries, WebTechnologies